Size-resolved aerosol and cloud condensation nuclei (CCN) properties in the remote marine South China Sea - Part 1: Observations and source classification

被引:25
作者
Atwood, Samuel A. [1 ]
Reid, Jeffrey S. [2 ]
Kreidenweis, Sonia M. [1 ]
Blake, Donald R. [3 ]
Jonsson, Haflidi H. [4 ]
Lagrosas, Nofel D. [5 ]
Xian, Peng [6 ]
Reid, Elizabeth A. [2 ]
Sessions, Walter R. [6 ,7 ]
Simpas, James B. [5 ]
机构
[1] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
[2] Naval Res Lab, Marine Meteorol Div, Monterey, CA 93943 USA
[3] Univ Calif Irvine, Dept Chem, Irvine, CA 92717 USA
[4] Naval Postgrad Sch, Dept Meteorol, Monterey, CA USA
[5] Manila Observ, Manila, Philippines
[6] Naval Res Lab, CSC Inc, Monterey, CA USA
[7] Univ Wisconsin, Space Sci Engn Ctr, Madison, WI USA
关键词
BIOMASS BURNING SMOKE; BOUNDARY-LAYER; NONPRECIPITATING CLOUDS; ATMOSPHERIC PARTICLES; MARITIME CONTINENT; ORGANIC-MATTER; RAIN-FOREST; HYGROSCOPICITY; DISTRIBUTIONS; TRANSPORT;
D O I
10.5194/acp-17-1105-2017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ship-based measurements of aerosol and cloud condensation nuclei (CCN) properties are presented for 2 weeks of observations in remote marine regions of the South China Sea/East Sea during the southwestern monsoon (SWM) season. Smoke from extensive biomass burning throughout the Maritime Continent advected into this region during the SWM, where it was mixed with anthropogenic continental pollution and emissions from heavy shipping activities. Eight aerosol types were identified using a k-means cluster analysis with data from a size-resolved CCN characterization system. Interpretation of the clusters was supplemented by additional onboard aerosol and meteorological measurements, satellite, and model products for the region. A typical bimodal marine boundary layer background aerosol population was identified and observed mixing with accumulation mode aerosol from other sources, primarily smoke from fires in Borneo and Sumatra. Hygroscopicity was assessed using the kappa parameter and was found to average 0.40 for samples dominated by aged accumulation mode smoke; 0.65 for accumulation mode marine aerosol; 0.60 in an anthropogenic aerosol plume; and 0.22 during a short period that was characterized by elevated levels of volatile organic compounds not associated with biomass burning impacts. As a special subset of the background marine aerosol, clean air masses substantially scrubbed of particles were observed following heavy precipitation or the passage of squall lines, with changes in observed aerosol properties occurring on the order of minutes. Average CN number concentrations, size distributions, and kappa values are reported for each population type, along with CCN number concentrations for particles that activated at supersaturations between 0.14 and 0.85%.
引用
收藏
页码:1105 / 1123
页数:19
相关论文
共 79 条
[1]   Emission factors for open and domestic biomass burning for use in atmospheric models [J].
Akagi, S. K. ;
Yokelson, R. J. ;
Wiedinmyer, C. ;
Alvarado, M. J. ;
Reid, J. S. ;
Karl, T. ;
Crounse, J. D. ;
Wennberg, P. O. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (09) :4039-4072
[2]   Composition and properties of atmospheric particles in the eastern Atlantic and impacts on gas phase uptake rates [J].
Allan, J. D. ;
Topping, D. O. ;
Good, N. ;
Irwin, M. ;
Flynn, M. ;
Williams, P. I. ;
Coe, H. ;
Baker, A. R. ;
Martino, M. ;
Niedermeier, N. ;
Wiedensohler, A. ;
Lehmann, S. ;
Mueller, K. ;
Herrmann, H. ;
McFiggans, G. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (23) :9299-9314
[3]   Aerosol-cloud-precipitation interactions. Part 1. The nature and sources of cloud-active aerosols [J].
Andreae, M. O. ;
Rosenfeld, D. .
EARTH-SCIENCE REVIEWS, 2008, 89 (1-2) :13-41
[4]   Smoking rain clouds over the Amazon [J].
Andreae, MO ;
Rosenfeld, D ;
Artaxo, P ;
Costa, AA ;
Frank, GP ;
Longo, KM ;
Silva-Dias, MAF .
SCIENCE, 2004, 303 (5662) :1337-1342
[5]   Analysis of source regions for smoke events in Singapore for the 2009 El Nino burning season [J].
Atwood, Samuel A. ;
Reid, Jeffrey S. ;
Kreidenweis, Sonia M. ;
Yu, Liya E. ;
Salinas, Santo V. ;
Chew, Boon Ning ;
Balasubramanian, Rajasekhar .
ATMOSPHERIC ENVIRONMENT, 2013, 78 :219-230
[6]   Comprehensive characterization of PM2.5 aerosols in Singapore -: art. no. 4523 [J].
Balasubramanian, R ;
Qian, WB ;
Decesari, S ;
Facchini, MC ;
Fuzzi, S .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D16)
[7]   Measurements of ocean derived aerosol off the coast of California [J].
Bates, T. S. ;
Quinn, P. K. ;
Frossard, A. A. ;
Russell, L. M. ;
Hakala, J. ;
Petaja, T. ;
Kulmala, M. ;
Covert, D. S. ;
Cappa, C. D. ;
Li, S. -M. ;
Hayden, K. L. ;
Nuaaman, I. ;
McLaren, R. ;
Massoli, P. ;
Canagaratna, M. R. ;
Onasch, T. B. ;
Sueper, D. ;
Worsnop, D. R. ;
Keene, W. C. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
[8]   Aerosol physical properties and processes in the lower marine boundary layer: a comparison of shipboard sub-micron data from ACE-1 and ACE-2 [J].
Bates, TS ;
Quinn, PK ;
Covert, DS ;
Coffman, DJ ;
Johnson, JE ;
Wiedensohler, A .
TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 2000, 52 (02) :258-272
[9]   Cluster Analysis of Rural, Urban, and Curbside Atmospheric Particle Size Data [J].
Beddows, David C. S. ;
Dall'Osto, Manuel ;
Harrison, Roy M. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2009, 43 (13) :4694-4700
[10]  
Brechtel FJ, 1998, J GEOPHYS RES-ATMOS, V103, P16351, DOI 10.1029/97JD03014